The Future of Work and Automation

Active learning helps students confront misconceptions about automation by engaging with real data and local contexts. JC 2 students need to see how AI reshapes roles beyond headlines, making debates, simulations, and timelines essential for critical analysis. These activities turn abstract trends into tangible skills and policy decisions they can evaluate and shape.

• JC 2
• Computing
• 3 activities
• 50 min–75 min

Simulation Game

⏱ 60 min·Pairs

Simulation Game: AI Code Generation Impact

Students use a simplified AI coding assistant tool to complete a programming task. They then compare their experience and the time taken to completing the task without the AI, discussing the pros and cons observed.

Prepare & details

How will the role of a software engineer change as AI begins to write code?

Facilitation Tip: During the debate, assign roles (e.g., pro-AI impact, con-AI impact, neutral moderator) to structure turn-taking and ensure balanced participation.

Setup: Flexible space for group stations

Materials: Role cards with goals/resources, Game currency or tokens, Round tracker

• Apply
• Analyze
• Evaluate
• Create
• Social Awareness
• Decision-Making

Formal Debate

⏱ 75 min·Whole Class

Formal Debate: Automation and Job Creation

Divide students into two groups to debate the proposition: 'Automation will create more jobs than it destroys.' Each group researches arguments and evidence to support their stance, presenting their case to the class.

Prepare & details

What new skills will be required in a highly automated global economy?

Facilitation Tip: In the Skill Mapping Workshop, provide job postings from Singapore’s SkillsFuture portal to ground student discussions in real-world examples.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Case Study Analysis

⏱ 50 min·Small Groups

Case Study Analysis: Industry Transformation

Students analyze case studies of industries significantly impacted by automation, such as manufacturing or customer service. They identify specific jobs affected, new roles created, and skills required for the workforce.

Prepare & details

How can societies mitigate the digital divide caused by rapid tech advancement?

Facilitation Tip: For the Policy Simulation, assign countries or regions to groups so they research local digital divide solutions before proposing Singapore-specific interventions.

Setup: Groups at tables with case materials

Materials: Case study packet (3-5 pages), Analysis framework worksheet, Presentation template

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Teaching This Topic

Experienced teachers use this topic to disrupt deterministic views of technology by focusing on human agency. Avoid framing automation as an unstoppable force; instead, guide students to analyze trade-offs and ethical dilemmas. Research shows students retain complex ideas better when they apply them to local contexts, so leverage Singapore’s SkillsFuture initiatives and digital inclusion programs as case studies.

What to Expect

Students will articulate how AI augments rather than replaces jobs, identify evolving skill demands, and propose equitable policy solutions. Success looks like nuanced arguments in debates, accurate skill maps in workshops, and actionable policy proposals in simulations. Evidence from sources like World Economic Forum reports should ground their reasoning.

Watch Out for These Misconceptions

Common Misconception

During Debate Rounds: AI's Impact on Coders, some students may claim AI will replace all coders.

What to Teach Instead

During the debate, redirect students to the World Economic Forum’s Future of Jobs Report. Have them cite specific data on job growth in software engineering oversight roles, using the debate’s structured arguments to test their assumptions.

Common Misconception

During Skill Mapping Workshop: Future Economy Needs, students may assume automation only affects low-skill roles.

What to Teach Instead

During the workshop, provide Singapore’s IMDA job postings for AI ethicists and data integration specialists. Have students categorize these as high-skill roles disrupted by AI to challenge their generalization.

Common Misconception

During Policy Simulation: Mitigating Digital Divides, students may propose generic solutions that ignore local inequities.

What to Teach Instead

During the simulation, require groups to cite Singapore’s Digital Inclusion Blueprint or UNESCO reports. Have them ground their policy proposals in local data, such as broadband access gaps in specific neighborhoods.

Assessment Ideas

Discussion Prompt

After Debate Rounds: AI's Impact on Coders, assess students on their ability to present evidence-supported arguments about skill shifts and new roles. Evaluate their use of Singapore’s economic context and data from World Economic Forum reports in their reasoning.

Quick Check

During Skill Mapping Workshop: Future Economy Needs, ask students to identify skills emphasized in three 2035 job descriptions. Assess their explanations for why these skills are crucial, focusing on adaptability, ethical reasoning, and interdisciplinary collaboration.

Exit Ticket

After Policy Simulation: Mitigating Digital Divides, have students write one societal challenge posed by automation in Singapore and one concrete policy or educational initiative to address it. Assess their proposals for specificity and alignment with local contexts like the Digital Inclusion Blueprint.

Extensions & Scaffolding

• Challenge students to draft a 2035 software engineering job description that highlights human-AI collaboration skills, then compare it to current listings.
• For students struggling to see AI’s role in high-skill jobs, provide a simple Python code snippet generated by GitHub Copilot and ask them to identify the human oversight required.
• Deeper exploration: Invite a local tech startup founder or policy analyst to discuss how their organization navigates automation challenges in Singapore’s market.